{"id":"W4229072299","doi":"10.1039/d2sc00035k","title":"Spatiotemporal dynamics of supramolecular polymers by <i>in situ</i> quantitative catalyst-free hydroamination","year":2022,"lang":"en","type":"article","venue":"Chemical Science","topic":"Supramolecular Self-Assembly in Materials","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute for Materials Science; Japan Society for the Promotion of Science; Murata Science Foundation; University of British Columbia; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Hydroamination; Supramolecular chemistry; In situ; Catalysis; Polymer; Dynamics (music); Chemistry; Nanotechnology; Materials science; Organic chemistry; Molecule; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001702736,0.0001724561,0.0002843575,0.0001742171,0.000177593,0.00007475771,0.001712418,0.00005351605,0.0002684484],"category_scores_gemma":[0.0007508396,0.0001852302,0.00005698634,0.001312468,0.0007579217,0.0003812835,0.000901285,0.0001447161,0.00001628654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005582924,"about_ca_system_score_gemma":0.0002319708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005159898,"about_ca_topic_score_gemma":0.00002768057,"domain_scores_codex":[0.9970073,0.0001701814,0.0004799558,0.0006268863,0.001228916,0.0004867795],"domain_scores_gemma":[0.9987732,0.0001226659,0.0002698822,0.0006172064,0.00009912152,0.0001179132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003261784,0.0001285819,0.000169616,0.00001517547,0.000001816195,0.00001016536,0.0002825978,0.00006795067,0.9962155,0.00273641,0.0001940105,0.0001455059],"study_design_scores_gemma":[0.0003696633,0.0000885585,0.0001199988,0.000008921383,0.000007988252,0.000009594608,0.000459068,0.001793458,0.9956568,0.001211114,0.00006143377,0.0002133562],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966914,0.0000940346,0.0009282517,0.0004752655,0.0003906315,0.0002357417,0.0001124549,0.0000452755,0.001026956],"genre_scores_gemma":[0.9963673,0.000001839851,0.003309375,0.0001260045,0.000008574691,0.00005009826,0.00009350934,0.00001685912,0.00002648935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002381124,"threshold_uncertainty_score":0.7553467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007025736895704089,"score_gpt":0.2488987275255842,"score_spread":0.2418729906298801,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}